Adaptive power flow control for reducing peak demand and maximizing renewable energy usage

Pholboon, Seksak, Sumner, Mark and Kounnos, Petros (2017) Adaptive power flow control for reducing peak demand and maximizing renewable energy usage. In: IEECON2017 The 2017 International Electrical Engineering Congress, 8-10 March 2017, Pattaya, Thailand.

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The increase in penetration of renewable energy sources, such as solar or wind, and high peak load demand can cause grid network security issues. The incorporation of demand side management and energy storage devices can provide a solution to these problems. This paper presents a proposed adaptive power flow control (APFC) strategy which reduces peak grid demand, increases self-consumption of renewable energy and also reduce the imbalance energy between demand and supply. The APFC aims to directly control high power consumption appliances and the charge/discharge of a community battery storage using measurement of the instantaneous power demands of the community. Historical data records of the community daily energy consumption, the available renewable energy and the imbalance energy are taken into account to manage the loads and battery storage. Simulation results show for a community of one hundred houses, with 114 kWp of PV arrays, and a 350kWh battery system that the percentage of the average peak power demand reduction over the year is 35%, while the PV energy self-consumption increases by 64%. This can produce an annual energy cost saving of up to £2300 when compared to the same community with only PV.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Published in: 5th International Electrical Engineering Congress (iEECON), Pattaya, Thailand, 8-10 March 2017. IEEE, 2017. doi:10.1109/IEECON.2017.8075737
Keywords: battery energy storage, demand side management, peak demand reduction, power flow control, PV system
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
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Depositing User: Burns, Rebecca
Date Deposited: 07 Jun 2017 13:21
Last Modified: 04 May 2020 19:13

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